Add to ORKG© Published under licence by IOP Publishing Ltd. An ABC-method (Accuracy Binary Classifier) for a more accurate assessment of the binary classifier's quality compared to the ROC-method (Receiver Operating Characteristic) is proposed. The ABC-method is suitable for quantitative and qualitative measures in independent and dependent small samples and it is not limited by the laws of distribution of objects in a sample. The ABC-method is effective for classification issues in different scientific and applied fields: IT, physical, technical, medical
This paper proposes a systematic benchmarking method called BenchMetrics to analyze and compare the ...
Binary classifiers are commonly used in software engineering research to estimate several software q...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
© Published under licence by IOP Publishing Ltd. An ABC-method (Accuracy Binary Classifier) for a mo...
The paper describes results of analytical and experimental analysis of seventeen functions used for ...
Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quali...
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quali...
Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quali...
BCI competition III dataset 4a classification accuracy (%) of dataset 2 with proposed method compare...
Working Paper- please do not cite without expressed written permission from the authors. In this pap...
Abstract — The selection of the best classification algorithm for a given dataset is a very widespre...
We give a brief overview over common performance measures for binary classification. We cover sensit...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
International audienceThe selection of the best classification algorithm for a given dataset is a ve...
This paper proposes a systematic benchmarking method called BenchMetrics to analyze and compare the ...
Binary classifiers are commonly used in software engineering research to estimate several software q...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
© Published under licence by IOP Publishing Ltd. An ABC-method (Accuracy Binary Classifier) for a mo...
The paper describes results of analytical and experimental analysis of seventeen functions used for ...
Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quali...
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quali...
Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quali...
BCI competition III dataset 4a classification accuracy (%) of dataset 2 with proposed method compare...
Working Paper- please do not cite without expressed written permission from the authors. In this pap...
Abstract — The selection of the best classification algorithm for a given dataset is a very widespre...
We give a brief overview over common performance measures for binary classification. We cover sensit...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
International audienceThe selection of the best classification algorithm for a given dataset is a ve...
This paper proposes a systematic benchmarking method called BenchMetrics to analyze and compare the ...
Binary classifiers are commonly used in software engineering research to estimate several software q...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p